| 摘要 |
Disclosed is a method for automatically extracting personal styles from captured motion data to generate stylized movement. The method employs wavelet analysis to extract the captured motion vector of different actors into wavelet coefficients, and thus forms a feature vector by optimization selection, which is used later for identification purposes. When the inventive method is applied to process animation frames, the performance can be evaluated by grouping and classification matrix without any correlation with the type of the motion. Also, even if the type of the motion is not stored in the database in advance, the motions of the actor can still be recognized by a learning module regardless of the type of the motions. |
